Classification of Bioinformatics EEG Data Signals to Identify Depressed Brain State Using CNN Model.

Thakare, Anuradha; Bhende, Manisha; Deb, Nabamita; Degadwala, Sheshang; Pant, Bhasker; Kumar, Yekula Prasanna

Thakare, Anuradha; Bhende, Manisha; Deb, Nabamita; Degadwala, Sheshang; Pant, Bhasker; Kumar, Yekula Prasanna.

Afiliación

Thakare A; Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India.
Bhende M; Marathwada Mitra Mandal's Institute of Technology, Pune, India.
Deb N; Department of Information Technology, Gauhati University, Assam, India.
Degadwala S; Department of Computer Engineering, Sigma Institute of Engineering, India.
Pant B; Computer Science & Engineering, Graphic Era Deemed to Be University, Dehradun, Uttarakhand, India.
Kumar YP; Department of Mining Engineering, College of Engineering and Technology, Bule Hora University, Blue Hora, 144 Oromia Region, Ethiopia.

Biomed Res Int ; 2022: 5214195, 2022.

Article en En | MEDLINE | ID: mdl-35463968

Asunto(s)

Biología Computacional; Electroencefalografía; Algoritmos; Inteligencia Artificial; Encéfalo; Electroencefalografía/métodos; Humanos; Redes Neurales de la Computación

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Electroencefalografía Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Biomed Res Int Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

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